Please note that while we make every effort to clean this data, the speed and scale with which it was collected means that we cannot validate all of it. If you find an error in the data, please file an issue on this Github page
This file contains variables from the CoronaNet government response project, representing national and sub-national policy event data from more than 190 countries since January 1st, 2020. The data include source links, descriptions, targets (i.e. other countries), the type and level of enforcement, and a comprehensive set of policy types. For more detail on this data, you can see our codebook here.
Download the Version of the Core Dataset HERE
This file contains the government response information from the core data along with the following datasets:
Download the CSV Version of the Extended Dataset HERE
coronanet_release.csv Dictionaryrecord_id Unique identifier for each policy recordentry_type Whether the record is new, meaning no restriction had been in place before, or an update (restriction was in place but changed). Corrections are corrections to previous entries.event_description A short description of the policy changetype The category of the policycountry The country initiating the policyinit_country_level Whether the policy came from the national level or a sub-national unitindex_prov The ID of the sub-national unittarget_country Which foreign country a policy is targeted at (i.e. travel policies)target_geog_level Whether the target of the policy is a country as a whole or a sub-national unit of that countrytarget_who_what Who the policy is targeted atrecorded_date When the record was entered into our datatarget_direction Whether a travel-related policy affects people coming in (Inbound) or leaving (Outbound)travel_mechanism If a travel policy, what kind of transportation it affectscompliance Whether the policy is voluntary or mandatoryenforcer What unit in the country is responsible for enforcementdate_announced When the policy goes into effectlink A link to at least one source for the policyISO_A3 3-digit ISO country codesISO_A2 2-digit ISO country codesseverity_index_5perc 5% posterior low estimate (i.e. lower bound of uncertainty interval) for severity indexseverity_index_median posterior median estimate (point estimate) for severity index, which comes from a Bayesian latent variable model aggregating across policy types to measure country-level policy severity (see paper on our website)severity_index_5perc 95% posterior high estimate (i.e. upper bound of uncertainty interval) for severity indexcoronanet_release_allvars.csv DictionaryAll of the fields listed above, plus
tests_daily_or_total Whether a country reports the daily count of tests a cumulative total
tests_raw The number of reported tests collected from host country websites or media reports
deaths The number of COVID-19 deaths, aggregated to the country-day level (JHU CSSE data)
confirmed_cases The number of confirmed cases of COVID-19, aggregated to the country-day level (JHU CSSE data)
recovered The number of recoveries from COVID-19, aggregated to the country-day level (JHU CSSE data)
ccode The Correlates of War country code
ifs IMF IFS country code
Rank_FP (most recent year available from Niehaus dataset) Reporters without Borders Press Freedom Annual Ranking
Score_FP (most recent year available from Niehaus dataset) Reporters with Borders Press Freedom Score
state_IDC (most recent year available from Niehaus dataset) State/Provincial Governments Locally Elected
muni_IDC (most recent year available from Niehaus dataset) Municipal Governments Locally Elected
dispersive_IDC (most recent year available from Niehaus dataset) Dispersive Powersharing
constraining_IDC (most recent year available from Niehaus dataset) Constraining Powersharing
inclusive_IDC (most recent year available from Niehaus dataset) Inclusive powersharing
sfi_SFI (most recent year available from Niehaus dataset) State fragility index
ti_cpi_TI (most recent year available from Niehaus dataset) Corruption perceptions index
pop_WDI_PW (most recent year available from Niehaus dataset) World Bank population
gdp_WDI_PW (most recent year available from Niehaus dataset) World Bank GDP (total)
gdppc_WDI_PW (most recent year available from Niehaus dataset) World Bank GDP per capita
growth_WDI_PW (most recent year available from Niehaus dataset) World Bank GDP growth percent
lnpop_WDI_PW (most recent year available from Niehaus dataset) Log of World Bank population
lngdp_WDI_PW (most recent year available from Niehaus dataset) Log of World Bank GDP
lngdppc_WDI_PW (most recent year available from Niehaus dataset) Log of World Bank GDP per capita
disap_FA (most recent year available from Niehaus dataset) 3 category, ordered variable for disappearances index
polpris_FA (most recent year available from Niehaus dataset) 3 category, ordered variable for political imprisonment index
latentmean_FA (most recent year available from Niehaus dataset) the posterior mean of the latent variable index for human rights protection)
transparencyindex_HR (most recent year available from Niehaus dataset) Transparency Index
EmigrantStock_EMS (most recent year available from Niehaus dataset) Total emmigrant stock from
v2x_polyarchy_VDEM (most recent year available from Niehaus dataset) Electoral democracy index
news_WB (most recent year available from Niehaus dataset) Daily newspapers (per 1,000 people)
CC-By Attribution 4.0 International
Please cite the project and dataset as:
Cheng, Cindy, Joan Barceló, Allison Hartnett, Robert Kubinec, and Luca Messerschmidt. 2020. COVID-19 Government Response Event Dataset (CoronaNet v1.0). https://www.coronanet-project.org